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@SantanderAI

Santander AI Open Source

Open source AI projects from Banco Santander. Responsible AI, MLOps, graph ML and LLM evaluation for financial services. Apache-2.0. PRs welcome.

SantanderAI

Open source artificial intelligence projects from Banco Santander

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Our mission

We build and open source AI tools that advance small models, harness engineering, avolving agents, responsible AI, MLOps and graph machine learning for the financial services industry. By contributing back to the open source ecosystem we help raise the bar for trustworthy AI in banking — and we give back to the community whose work powers our own innovation.

Featured projects

Project Description License Status
gen-fraud-graph Synthetic fraud graph generator for training and benchmarking graph-based fraud detection models. Scales to 100M+ accounts. Apache-2.0 ✅ Active
More coming Q3 2026 MLOps recipes · LLM evaluation harness · RAG benchmark suite · anonymisation toolkit Apache-2.0 / BSD-3 🟡 In review

All projects use synthetic or anonymised data only. No real customer information is published.

Open source governance

Our Open Source Programme Office (OSPO) runs a transparent two-track review for every project considered for public release:

  • Fast Track — forks, generic tools, tutorials, datasets, SDKs without business logic. Reviewed by OSPO Lead with automated scans (SLA < 4 hours).
  • Full Track — AI models, frameworks with IP, code that touched internal data. Reviewed by a FOSS Review Board (OSPO Lead + Legal + CISO + Architect). SLA 2-4 weeks.

Full policy: GOVERNANCE.md

Contributing

We welcome contributions from everyone. Please read:

  • CONTRIBUTING.md — how to submit issues and pull requests
  • CODE_OF_CONDUCT.md — Contributor Covenant v2.1
  • SECURITY.md — responsible disclosure
  • All contributors agree to our Contributor License Agreement (CLA) on first PR

Contact


Built with ❤️ by AI Labs · Banco Santander · Madrid 🇪🇸

Open code · Responsible AI · For the community

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  1. gen-fraud-graph gen-fraud-graph Public

    Synthetic fraud graph generator for benchmarking graph-based fraud detection models in financial services.

    Python

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